About SAM 3 - 3D Body
SAM 3 - 3D Body is an advanced AI model designed for precise 3D reconstruction of human body shape and pose from just a single image. Leveraging state-of-the-art computer vision and deep learning techniques, this model can detect and process multiple people within a scene, generating highly detailed 3D meshes complete with keypoints. Whether you are visualizing complex scenes or analyzing human movement, SAM 3 - 3D Body makes it easy to transform standard 2D images into comprehensive 3D representations.
The technology behind SAM 3 - 3D Body takes image input—either by file upload or URL—and analyzes human figures to create accurate 3D models. Users can opt to provide an optional binary mask for even more precise segmentation, or let the model handle detection automatically. Output options include GLB mesh files for visualization, individual PLY meshes per person, and metadata with detailed 3D keypoints, making the results suitable for a wide range of creative, analytical, and technical applications. Built for flexibility, the model allows users to include or exclude 3D keypoint spheres in the visualized meshes, catering to both presentation and analytical needs.
This model is especially valuable for professionals in animation, gaming, virtual reality, sports analysis, and fashion technology. For example, animators can quickly generate reference models for character rigging, while sports scientists and coaches can analyze posture and movement in three dimensions from simple photographs. E-commerce and fashion brands can leverage realistic 3D body modeling for virtual try-ons and digital fitting rooms, providing an immersive customer experience.
Designed for efficiency and scalability, SAM 3 - 3D Body supports exporting individual mesh files for each detected person, enabling multi-subject scenes and facilitating batch processing workflows. The model’s intuitive input schema and robust output formats ensure seamless integration into creative pipelines, research projects, and production environments. With generation times typically ranging from 45 to 90 seconds, users can expect fast, reliable results without compromising on detail or accuracy.
By turning ordinary photos into detailed 3D human models, SAM 3 - 3D Body unlocks new possibilities in digital content creation, motion analysis, virtual prototyping, and interactive media. Its user-friendly interface, customizable options, and powerful algorithms make it a go-to solution for anyone looking to bridge the gap between 2D imagery and 3D digital reality.